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机译:多元自适应回归样条在模拟足球队行为模型中的应用
Department of Informatics Engineering, University of Coimbra, Center for Informatics and Systems (CISUC), Polo Ⅱ, Pinhal de Marrocos, Coimbra, 3030-290, Portugal;
Department of Informatics Engineering, University of Coimbra, Center for Informatics and Systems (CISUC), Polo Ⅱ, Pinhal de Marrocos, Coimbra, 3030-290, Portugal;
Department of Informatics Engineering, Faculty of Engineering, University of Porto, Artificial Intelligence and Decision Support Lab. (LIAAD-INESC TEC) R. Dr. Roberto Frias, s, Porto, 4200-465, Portugal;
Department of Information Systems, School of Engineering, University of Minho Campus de Azurem, Guimaraes, 4800-058, Portugal Artificial Intelligence and Computer Science Lab. (LIACC), University of Porto, Portugal;
Sport Science Department, Faculty of Sport, University of Porto, Rua Dr. Pldcido Costa, 91, Porto, 4200.450, Portugal;
Knowledge Discovery from Historical Data; Data Mining; Feature Selection; Soccer Simulation;
机译:预测AMI死亡率的回归树,逻辑回归,广义加性模型和多元自适应回归样条的比较。
机译:使用神经模糊,神经网络,多元自适应回归样条和M5模型树技术预测FRP约束混凝土的性能
机译:使用多变量自适应回归花键(MARS),M5模型树(M5Tree)和最小二乘支持向量回归(LSSVR)模型评估含有粗再生混凝土聚集体的混凝土机械性能
机译:基于人工神经网络和多元自适应回归样条的路面粗糙度进阶建模
机译:利用多元自适应回归样条(MARS)扩展单调缺失模式数据插补的回归方法,并应用于系统随机缺失研究(SMAR)研究设计
机译:使用加速度计和心率的跨部门时间序列和多元自适应回归样条曲线模型预测学龄前儿童的能量支出
机译:用于单变量和半多元时间序列系统建模和分析的多元自适应回归样条研究